MBA Training Data

MBA Training Data

By MBA TrainingBusinessEducationManagement
Download on the App Store

MBA Training Data episodes

  • Feature stores: the missing infrastructure layer in your ML data supply chain

    Most ML failures are not model failures. They are data supply chain failures, and feature stores are the architectural response that serious ML organizations have adopted to fix them.

    Go deeper, free lessons

    • MLOps: monitoring, retraining & drift
    • Models in production: drift, monitoring & MLOps
    • Data lineage & metadata management: knowing where your data was born
    • The lakehouse: unifying analytics & ML
    • AI risk & the EU AI Act

    Full article and transcript: https://www.mba-training.com/blog/feature-stores-ml-data-supply-chain

    MBA Training, mba-training.com

    5 min
  • Why most data culture initiatives fail before they start

    Most organizations have data strategies on paper and data silos in practice. The gap between the two is rarely a technology problem.

    Go deeper, free lessons

    • Overcoming resistance & data politics
    • Driving cultural change to data-driven
    • Data literacy: building analytical capability across the organization
    • Decision rituals: getting data into the room
    • Data maturity & organizational design: assessment and sequencing

    Full article and transcript: https://www.mba-training.com/blog/data-culture-cdo-organization-strategy

    MBA Training, mba-training.com

    5 min
  • When the AI model is wrong: what CDOs must own in 2026

    Most AI failures in production are not model failures. They are governance failures, and CDOs who treat the two as interchangeable are building on unstable ground.

    Go deeper, free lessons

    • Models in production: drift, monitoring & MLOps
    • Human oversight and AI incident response
    • AI risk & the EU AI Act
    • Bias, explainability & model cards
    • CDO in financial services: when regulation is your architecture

    Full article and transcript: https://www.mba-training.com/blog/ai-model-governance-cdo-strategy

    MBA Training, mba-training.com

    5 min
  • When privacy becomes a board-level liability: what CDOs need to own in 2026

    Data privacy is no longer a compliance checkbox managed by legal teams. CDOs who treat it as an operational afterthought are accumulating risk that will eventually surface at the worst possible moment.

    Go deeper, free lessons

    • CCPA, LGPD, AI Act: navigating the global regulatory patchwork
    • GDPR in practice: the 10 mistakes CDOs make most often
    • Data classification & access control: the zero-trust data approach
    • Data breach playbook: what to do in the first 72 hours
    • Communicating with the board and c-suite

    Full article and transcript: https://www.mba-training.com/blog/privacy-security-cdo-board-liability

    MBA Training, mba-training.com

    5 min
  • From data asset to data product: what CDOs get wrong about monetization

    Most organizations sitting on valuable data fail to monetize it not because the data is poor, but because they treat productization as a technical problem rather than a commercial one. This article examines what separates data product leaders from laggards, and what CDOs need to change operationally to close the gap.

    Go deeper, free lessons

    • Data monetization: three modes & the data flywheel
    • Data productization: pricing, distribution & business case
    • Data sharing, marketplaces, and ecosystems
    • Pricing models for data products
    • The data P&L

    Full article and transcript: https://www.mba-training.com/blog/data-product-monetization-cdo-strategy

    MBA Training, mba-training.com

    5 min
  • Data governance in 2026: why compliance alone is failing CDOs

    Most organizations have data governance frameworks on paper. The ones that actually work have something different, and it has less to do with regulation than with how governance is wired into daily decision-making.

    Go deeper, free lessons

    • Setting up a Data Governance Council that doesn't become theater
    • Shift-left data quality: embedding governance in the engineering pipeline
    • Data ownership, stewardship and accountability across the org
    • CCPA, LGPD, AI Act: navigating the global regulatory patchwork
    • CDO in financial services: when regulation is your architecture

    Full article and transcript: https://www.mba-training.com/blog/data-governance-cdo-compliance-strategy

    MBA Training, mba-training.com

    5 min
  • Self-service analytics is failing most organizations, and CDOs are partly to blame

    Most self-service analytics programs deliver far less than promised, with adoption stalling and shadow IT filling the gaps. The problem is rarely the technology.

    Go deeper, free lessons

    • Self-serve analytics: architecture, data catalog & data literacy
    • Data literacy: building analytical capability across the organization
    • The metrics & semantic layer
    • Insider threats and shadow IT: the risks no data strategy paper covers
    • Measuring the business value of analytics: ROI and the business case

    Full article and transcript: https://www.mba-training.com/blog/self-service-analytics-cdo-strategy

    MBA Training, mba-training.com

    5 min
  • Data mesh vs. data lakehouse: what CDOs actually need to decide in 2026

    The debate between data mesh and data lakehouse architectures has moved past theory and into boardroom budget conversations. Here is what the choice actually involves, and why framing it as an either/or question is the first mistake most CDOs make.

    Go deeper, free lessons

    • Data mesh: principles, success conditions & criticisms
    • Data warehouse, lake & lakehouse: choosing the right architecture
    • The lakehouse: unifying analytics & ML
    • Operating models: centralized, federated, hub-and-spoke
    • Data products: definition, design & lifecycle management

    Full article and transcript: https://www.mba-training.com/blog/data-mesh-lakehouse-cdo-architecture

    MBA Training, mba-training.com

    5 min
  • Why data culture fails before strategy does

    Most data initiatives stall not because of missing technology or budget, but because the organization never genuinely changed how it thinks about data. For CDOs, this is the defining operational challenge of 2026, and it demands a different playbook than the one most executives were handed.

    Go deeper, free lessons

    • Driving cultural change to data-driven
    • Overcoming resistance & data politics
    • Decision rituals: getting data into the room
    • Data literacy: building analytical capability across the organization
    • Data ownership, stewardship and accountability across the org

    Full article and transcript: https://www.mba-training.com/blog/data-culture-organization-cdo-strategy

    MBA Training, mba-training.com

    4 min
  • When AI strategy becomes infrastructure: what CDOs must own in 2026

    Most organizations have moved past the question of whether to invest in AI. The real pressure on CDOs now is deciding which decisions to own, which to delegate, and how to build the underlying data infrastructure that makes AI something other than a series of expensive experiments.

    Go deeper, free lessons

    • CDO AI strategy: prioritization, build/buy & value chain
    • The AI operating model and platform
    • Closing the POC-to-production gap
    • Measuring AI ROI
    • Generative AI in the enterprise: RAG, risks & governance

    Full article and transcript: https://www.mba-training.com/blog/ai-strategy-cdo-infrastructure-2026

    MBA Training, mba-training.com

    4 min

About MBA Training Data

From the publisher's feed

MBA Training Data. Daily strategy in data governance, architecture, analytics and AI, for data leaders and aspiring CDOs. New episode every day at mba-training.com.